Human motion detection is getting considerable attention in the field of Artificial Intelligence (AI) driven healthcare systems. can be used to provide remote solutions for vulnerable people by identifying particular movements such as falls, gait and breathing disorders. This allow live more independent lifestyles still have safety being monitored if direct care needed. At present wearable devices real time monitoring deploying equipment on a person's body. However, putting body all make it...

Chaos-based encryption schemes have attracted many researchers around the world in digital image security domain. Digital images can be secured using existing chaotic maps, multiple and several other hybrid dynamic systems that enhance non-linearity of images. The combined property confusion diffusion was introduced by Claude Shannon which employed for security. In this paper, we proposed a novel system is computationally less expensive provided higher level based on shuffling process with...

Although typically associated with large-scale, defense -related use to monitor ships and aircraft, radar has been employed in the past few years for a number of short-range, civilian applications. We have discussed presented some examples used support health-care provisions, help vital signs patients at risk their daily activities, useful proxy more general physical cognitive well-being. Unlike cameras wearables, does not collect sensitive images people monitored or require users wear,...

The object recognition concept is being widely used a result of increasing CCTV surveillance and the need for automatic or activity detection from images video. Increases in use various sensor networks have also raised lightweight process frameworks. Much research has been carried out this area, but scope colossal as it deals with open-ended problems such able to achieve high accuracy little time using Convolution Neural Networks their variants are computer vision activities, most...

In agriculture science, accurate information of moisture content (MC) in fruits and vegetables an automated fashion can be vital for astute quality grading evaluation. This demands a viable, feasible cost-effective technique the defect recognition using timely detection MC to maintain healthy sensory characteristic fruits. Here we propose non-invasive machine learning (ML) driven monitor variations terahertz (THz) waves with Swissto12 material characterization kit (MCK) frequency range 0.75...

This paper presents some preliminary results to develop a generalized system for human activity recognition (HAR) and detecting fall events using micro-Doppler signatures exploiting frequency modulated continuous wave (FMCW) radar. The core idea of this work is demonstrate the portability applicability radar datasets HAR, independent geometrical environments subjects involved. experimental campaign involved different volunteers at four locations. Two machine learning algorithms such as...

A novel study on monitoring and analysis of the debilitating condition patients suffering from neurological disorder is presented. Parkinson's disease characterized by limited motor ability a patient. Freezing gait major nonmotor among aging its evaluation can reduce chances any secondary disorders. In this paper, amplitude phase information radio signals observed for fixed period time are used to differentiate symptoms. The classified using support vector machine, while linear...

Parkinson's disease (PD) is a progressive and neurodegenerative condition causing motor impairments.One of the major related impairments that present biggest challenge freezing gait (FOG) in patients.In FOG episode, patient unable to initiate, control or sustain consequently affects Activities Daily Livings (ADLs) increases occurrence critical events such as falls.This paper presents continuous monitoring ADLs classification episodes using Wi-Fi radar imaging.The idea exploit multiresolution...

The health status of an elderly person can be identified by examining the additive effects aging along with disease linked to it and lead ‘unstable incapacity’. This is determined apparent decline independence in activities daily living (ADLs). Detecting ADLs provides possibilities improving home life people as applied fall detection systems. paper presents based on radar image classification their routine activities, using data that were previously collected for 99 volunteers. Machine...

The exponential growth of the novel coronavirus disease (N-COVID-19) has affected millions people already and it is obvious that this crisis global. This situation enforced scientific researchers to gather their efforts contain virus. In pandemic situation, health monitoring human movements are getting significant consideration in field healthcare as a result, emerged key area interest recent times. requires contactless sensing platform for detection COVID-19 symptoms along with containment...

Android has become the leading mobile ecosystem because of its accessibility and adaptability. It also primary target widespread malicious apps. This situation needs immediate implementation an effective malware detection system. In this study, explainable system was proposed using transfer learning visual features. For detection, our technique leverages both textual First, a pre-trained model called Bidirectional Encoder Representations from Transformers (BERT) designed to extract trained...

The Internet of Things (IoT) represents a swiftly expanding sector that is pivotal in driving the innovation today's smart services. However, inherent resource-constrained nature IoT nodes poses significant challenges embedding advanced algorithms for cybersecurity, leading to an escalation cyberattacks against these nodes. Contemporary research Intrusion Detection Systems (IDS) predominantly focuses on enhancing IDS performance through sophisticated algorithms, often overlooking their...

Increasing prevalence of dementia has posed several challenges for care-givers. Patients suffering from often display wandering behavior due to boredom or memory loss. It is considered be one the challenging conditions manage and understand. Traits patients can compromise their safety causing serious injuries. This paper presents investigation into design evaluation scenarios with using an S-band sensing technique. frequency band wireless channel commonly used monitor characterize different...

Abstract Background The demand for effective use of water resources has increased because ongoing global climate transformations in the agriculture science sector. Cost-effective and timely distributions appropriate amount are vital not only to maintain a healthy status plants leaves but drive productivity crops achieve economic benefits. In this regard, employing terahertz (THz) technology can be more reliable progressive technique due its distinctive features. This paper presents novel,...

This work presents a framework that monitors particular symptoms such as respiratory conditions (abnormal breathing pattern) experienced by hyperthyreosis, sleep apnea, and sudden infant death syndrome (SIDS) patients. The proposed detects condition using S-Band sensing technique leverages the wireless devices antenna, card, omni-directional antenna operating in 2 GHz to 4 frequency range, channel information extraction tool. rhythmic patterns extracted present periodic non-periodic...

Medical healthcare is one of the fascinating applications using Internet Things (IoTs). The pervasive smart environment in IoTs has potential to monitor various human activities by deploying devices. In our pilot study, we look at narcolepsy, a disorder which individuals lose ability regulate their sleep-wake cycle. An imbalance brain chemical called orexin makes sleep pattern irregular. This patients suffering from narcolepsy results them experience irrepressible episodes while performing...

Abstract Directional antennas have been extensively used in wireless sensor networks (WSNs) for various applications. This work presents the application of a four‐beam patch antenna as node to assess pill‐rolling effect Parkinson disease. The is small size, highly directive, and can suppress multipath fading encountered indoor settings that adversely affects measurements. refers tremors hands, particularly forefinger thumb, which patient involuntary rubs together. core idea develop low‐cost...

Human activity monitoring is essential for a variety of applications in many fields, particularly healthcare. The goal this research work to develop system that can effectively detect fall/collapse and classify other discrete daily living activities such as sitting, standing, walking, drinking, bending. For paper, publicly accessible dataset employed, which captured at various geographical locations using 5.8 GHz Frequency-Modulated Continuous-Wave (FMCW) RADAR. A total ninety-nine...

The Industrial Internet of Things (IIoT) is a rapidly emerging technology that increases the efficiency and productivity industrial environments by integrating smart sensors devices with internet. advancements in communication technologies have introduced stable connectivity higher data transfer rate IIoT. IIoT generate massive amount information requires intelligent processing techniques for development cybersecurity mechanisms. In this regard, deep learning (DL) can be an appropriate...

Cerebellar dysfunction (CD) is a neurological disorder that involves number of abnormalities affect the movement various parts body such as gait abnormality or tremors in limbs hands feet while reaching out for something. A user-friendly tool can objectively evaluate aforementioned movements CD patients aid clinicians an objective assessment clinical settings. The this paper to develop method quantifies and hand using S-band sensing technique. essentially leverages small wireless devices...